Shahar Shelly

120 total papers · 1.8k total citations
70 papers, 975 citations indexed

About

Shahar Shelly is a scholar working on Neurology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shahar Shelly has authored 70 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Neurology, 12 papers in Epidemiology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shahar Shelly's work include Peripheral Neuropathies and Disorders (16 papers), Myasthenia Gravis and Thymoma (11 papers) and Autoimmune Neurological Disorders and Treatments (8 papers). Shahar Shelly is often cited by papers focused on Peripheral Neuropathies and Disorders (16 papers), Myasthenia Gravis and Thymoma (11 papers) and Autoimmune Neurological Disorders and Treatments (8 papers). Shahar Shelly collaborates with scholars based in Israel, United States and Canada. Shahar Shelly's co-authors include Hedi Orbach, Mona Boaz, Nancy Agmon‐Levin, Yehuda Shoenfeld, Arie Altman, Teerin Liewluck, Margherita Milone, Αναστασία Ζεκερίδου, Jay Mandrekar and Kamal Shouman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.

In The Last Decade

Shahar Shelly

55 papers receiving 931 citations

Hit Papers

Autonomic dysfunction fol... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shahar Shelly 474 160 137 135 126 70 975
Eisuke Ozawa 422 0.9× 165 1.0× 100 0.7× 204 1.5× 70 0.6× 61 1.1k
Michael A. Smith 208 0.4× 141 0.9× 108 0.8× 178 1.3× 67 0.5× 32 1.2k
Shuzo Shintani 270 0.6× 146 0.9× 81 0.6× 197 1.5× 79 0.6× 74 871
Krishnan Ravindran 417 0.9× 204 1.3× 105 0.8× 134 1.0× 44 0.3× 52 952
Domingo Escudero 563 1.2× 139 0.9× 64 0.5× 45 0.3× 69 0.5× 41 985
Ha Young Shin 524 1.1× 145 0.9× 138 1.0× 108 0.8× 49 0.4× 124 1.2k
Eugene Vlodavsky 330 0.7× 167 1.0× 72 0.5× 69 0.5× 139 1.1× 48 847
Saša Živković 378 0.8× 116 0.7× 42 0.3× 159 1.2× 62 0.5× 66 1.1k
G Danta 264 0.6× 161 1.0× 171 1.2× 218 1.6× 41 0.3× 46 1.2k
Naoki Kitagawa 352 0.7× 202 1.3× 78 0.6× 164 1.2× 31 0.2× 75 1.0k

Countries citing papers authored by Shahar Shelly

Since Specialization
Citations

This map shows the geographic impact of Shahar Shelly's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shahar Shelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahar Shelly more than expected).

Fields of papers citing papers by Shahar Shelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shahar Shelly. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shahar Shelly. The network helps show where Shahar Shelly may publish in the future.

Co-authorship network of co-authors of Shahar Shelly

This figure shows the co-authorship network connecting the top 25 collaborators of Shahar Shelly. A scholar is included among the top collaborators of Shahar Shelly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shahar Shelly. Shahar Shelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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